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Predicts the gift value attached to a mailing — so you can target on expected revenue and forecast income before a campaign goes out. What it predicts — The euro value of the gift attached to a mailing. It can be trained on responders only (a conditional “if they give, how much?”) or across the whole list. Who it scores — The mailing universe, alongside DM propensity. The decision it drives — Target on expected revenue (likelihood × value) rather than likelihood alone, and forecast what a campaign will raise before it goes out. Worked example — Two supporters are equally likely to respond, but one typically gives €15 and the other €120. Ranking on expected value pushes the higher-value supporter up the list and shapes which segment gets the higher ask. What good looks like — Higher income per pack mailed and a credible pre-campaign income forecast.
Pairs well with DM propensity — multiply likelihood by value to rank on expected income.

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